Neutrosophic Cubic Fuzzy Dombi Hamy Mean Operators with Application to Multi-Criteria Decision Making

Abstract

The aim of the paper is to find most optimistic results from among uncertain information or
vague data. We theoretically use the notion of neutrosophic cubic sets to create enhanced decision-making
models for multi-criteria. The advantage of neutrosophic cubic sets is that it comprehends the knowledge of
neutrosophic sets and interval valued neutrosophic sets. Aggregation operators are used to retrieve the core
information from a collection of data. So, this research executes aggregation operators for neutrosophic cubic
sets dynamically. In this paper we avail the aid of hamy mean and dombi operations to establish fuzzy dombi
hamy mean aggregation operators for neutrosophic cubic sets. This paper also explains the algebraic sum and
scalar multiplication operations. A decision making methodology has been generated to prove the necessity of
the proposed operators. Finally an illustration is provided from a real life decision making situation